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Updated: Jun 28, 2026
14:51
Comprehensive Workflow of Mass Spectrometry-based Shotgun Proteomics of Tissue Samples
Published on: November 13, 2021
Proteomics: new technologies and clinical applications.
Martin Latterich1, Mark Abramovitz, Brian Leyland-Jones
1Faculty of Pharmacy, University of Montreal, Montreal, QC, Canada. mlatterich@pharmacogenomics.ca
European Journal of Cancer (Oxford, England : 1990)
|November 4, 2008
Summary
Genomics and proteomics advance breast cancer research for personalized treatments. This review covers challenges and methods for discovering and validating biomarkers for improved patient outcomes.
Area of Science:
- Oncology
- Molecular Biology
- Biomarker Discovery
Background:
- Genomics has improved breast cancer classification and diagnostics.
- Proteomics is essential for a systems biology approach to biomarker discovery in breast cancer.
- Challenges in proteomics include specimen handling, preparation, and platform selection.
Purpose of the Study:
- To review specimen sampling, proteomic methodologies, and validation strategies for breast cancer biomarkers.
- To explore the integration of genomics and proteomics for biomarker discovery.
- To advance personalized treatment strategies for breast cancer patients.
Main Methods:
- Review of genomics and proteomics techniques for breast cancer research.
- Discussion of isobaric tags for relative and absolute quantification (iTRAQ) for biomarker identification.
- Exploration of monitoring initiated detection and sequencing-multiple reaction monitoring (MIDAS-MRM) for biomarker validation.
Main Results:
- Genomics has led to improved breast cancer classification and diagnostic tests.
- Proteomics offers potential for discovering biomarkers for early diagnosis, prognosis, and treatment prediction.
- Integrated genomics and proteomics approaches are key to optimizing breast cancer treatment.
Conclusions:
- Combining genomics and proteomics is crucial for comprehensive biomarker screening and validation.
- Overcoming proteomic challenges is vital for advancing breast cancer diagnostics and therapeutics.
- The ultimate goal is the individualization and optimization of breast cancer treatment through integrated biomarker strategies.
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